POST_START

Establishing a Clean Production Catalog Context Before an Incident Investigation

Today, I’m tasked with investigating an unexpected data inconsistency in our production environment. Before diving into the issue, I need to ensure I’m working with the correct and clean catalog context to avoid any misinterpretation of the data. The first step is to verify which catalogs exist in the system.

SHOW CATALOGS;

catalog
main
production
training

I checked the list of catalogs and saw that the production catalog is present. This confirms that there is a dedicated catalog for our production data. Next, I need to switch to the production catalog to ensure I’m working within the correct environment.

USE CATALOG production;

I verified that I’m now in the production catalog. This is important because any data operations I perform will be scoped to this catalog, and I want to avoid any accidental modifications to other environments like main or training.

SELECT current_catalog();

current_catalog()
production

I ran the current_catalog() function to double-check my current context. Seeing the output as ‘production’ confirms that I’m in the right place. Now, I need to explore the schemas within the production catalog to locate the relevant data for the investigation.

SHOW SCHEMAS IN production;

databaseName
default
sales
finance

I checked the schemas in the production catalog and found several, including ‘sales’ which is likely where the issue is originating. To focus my investigation, I’ll switch to the sales schema.

USE SCHEMA sales;

I confirmed that I’m now in the sales schema. This is the context in which I’ll be examining the data and looking for any anomalies or inconsistencies. By establishing a clear and clean catalog context at the start of the investigation, I can ensure that my findings are accurate and that I’m not working with stale or incorrect data.